The mobile Internet and social media have become an important part of modern society, which contain a lot of effective information. To meet the requirements of earthquake emergency, this paper uses the existing social media data to form a feasible method of earthquake disaster acquisition and rapid assessment. With the real-time interactive information of micro-blog mobile as the data source, the 11 destructive earthquake related text data of China since 2016 are effectively obtained by distributed crawler technology. The multi factor coupling data set, such as the earthquake and the people’s emotion, is realized by matrix and structured processing. The fast evaluation method of seismic intensity based on social media data is realized by artificial neural network model. It has a certain theoretical significance and important application value for rapid acquisition of disaster and rapid evaluation of intensity after the earthquake.